Software Engineer- LLM Systems (Remote)

NewtonX delivers AI-powered B2B insights to high-profile clients like McKinsey and Google. The role involves owning the core LLM infrastructure for products that redefine B2B research, focusing on building scalable AI systems and integrating complex data sources.

Responsibilities:

• Own the core LLM infrastructure powering two products redefining B2B research
• Build self-serve features that compress weeks into days: question → expert insight → follow-up, powered by RAG and adaptive workflows
• Architect automated systems that continuously capture expert opinions—creating longitudinal datasets and refreshable dashboards that compound in value
• Fuse structured survey data with unstructured expert knowledge, building semantic search across proprietary corpora, and creating AI pipelines that maintain research-grade quality at scale

Requirements:

• You write exceptional code, fast. 3-4 years of experience shipping production code in a fast-paced environment
• Full-stack expertise: Moderate proficiency in React, TypeScript, and modern frontend frameworks. Backend experience with Python, Node.js, or similar
• AI/ML implementation experience: Hands-on experience integrating LLMs, building with OpenAI/Anthropic APIs, or implementing ML models in production. We care more about a demonstrated eagerness to learn and an understanding of complex systems than specific years
• Cloud and infrastructure: Experience with AWS, Docker, and modern deployment practices
• Quality mindset: Experience with testing, code reviews, and maintaining high code quality standards
• Customer focus: Ability to translate user needs into technical solutions while maintaining engineering best practices
• RAG systems, embeddings, semantic search
• Real-time data processing or streaming architectures
• Open-source contributions in AI/ML